This section describes main characteristics of the chess data set and its attributes:
General information
Chess (King-Rook vs. King-Pawn) data set |
Type | Classification | Origin | Laboratory |
Features | 36 | (Real / Integer / Nominal) | (0 / 0 / 36) |
Instances | 3196 |
Classes | 2 |
Missing values? | No |
Attribute description
Attribute | Domain | Attribute | Domain | Attribute | Domain |
Bkblk | {f,t} | Dwipd | {l,g} | Skach | {f,t} |
Bknwy | {f,t} | Hdchk | {f,t} | Skewr | {f,t} |
Bkon8 | {f,t} | Katri5 | {n,w,b} | Skrxp | {f,t} |
Bkona | {f,t} | Mulch | {f,t} | Spcop | {f,t} |
Bkspr | {f,t} | Qxmsq | {f,t} | Stlmt | {f,t} |
Bkxbq | {f,t} | R2ar8 | {f,t} | Thrsk | {f,t} |
Bkxcr | {f,t} | Reskd | {f,t} | Wkcti | {f,t} |
Bkxwp | {f,t} | Reskr | {f,t} | Wkna8 | {f,t} |
Blxwp | {f,t} | Rimmx | {f,t} | Wknck | {f,t} |
Bxqsq | {f,t} | Rkxwp | {f,t} | Wkovl | {f,t} |
Cntxt | {f,t} | Rxmsq | {f,t} | Wkpos | {f,t} |
Dsopp | {f,t} | Simpl | {f,t} | Wtoeg | {n,t} |
Class | {won,nowin} |
Additional information
A data set representing a chees end game, where a pawn on a7 is one square away from queening. The task is to determine if White can win or not.
The description of attributes can be found in: Alen D. Shapiro (1983,1987), Structured Induction in Expert Systems, Addison-Wesley.
In this section you can download some files related to the chess data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here.
- This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Chess+%28King-Rook+vs.+King-Pawn%29.
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